Upload TFBertForSequenceClassification

README.md

@@ -1,52 +1,57 @@
----
-library_name: transformers
-license: apache-2.0
-base_model: bert-base-cased
-tags:
-- generated_from_keras_callback
-model-index:
-- name: bert-base-cased
-  results: []
-datasets:
-- bkr969/fake_news
----
-
-<!-- This model card has been generated automatically according to the information Keras had access to. You should
-probably proofread and complete it, then remove this comment. -->
-
-# bert-base-cased
-
-This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on Fakenews dataset.
-It achieves the following results on the evaluation set:
-
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': 5e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
-- training_precision: float32
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.46.3
-- TensorFlow 2.18.0
-- Datasets 3.2.0
-- Tokenizers 0.20.3
+---
+library_name: transformers
+license: apache-2.0
+base_model: bert-base-cased
+tags:
+- generated_from_keras_callback
+model-index:
+- name: bert-base-cased
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# bert-base-cased
+
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.3251
+- Train Sparse Categorical Accuracy: 0.8883
+- Validation Loss: 0.2651
+- Validation Sparse Categorical Accuracy: 0.9080
+- Epoch: 0
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': 5e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
+|:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
+| 0.3251     | 0.8883                            | 0.2651          | 0.9080                                 | 0     |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- TensorFlow 2.18.0
+- Datasets 3.2.0
+- Tokenizers 0.20.3

tf_model.h5

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